Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …

Advanced signal processing methods are one of the fastest develo** scientific and
technical areas of biomedical engineering with increasing usage in current clinical practice …

Electrocardiogram (ECG) signals are used to diagnose cardiovascular diseases. During
ECG signal acquisition, various noises like power line interference, baseline wandering …

Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

Stress is now thought to be a major cause to a wide range of human health issues. However,
many people may ignore their stress feelings and disregard to take action before serious …

Absence of airflow in breathing during sleep for more than 10 s is known as sleep apnea. It
causes low oxygen levels in the blood which may lead to many cardiovascular problems …

Timely detection of cardiac abnormalities from an Electrocardiogram (ECG) signal is very
essential. This requires its appropriate and efficient processing. In the literature, most of the …

Myocardial infarction (MI) is a heart condition arising due to partial or complete blockage of
blood flow to heart muscles. This can lead to permanent damage to the heart and can be …

Epilepsy is a disease recognized as the chronic neurological dysfunction of the human brain
which is described by the sudden and excessive electrical discharges of the brain cells …

Surface electromyogram (sEMG) provides a non-invasive way to collect EMG signals. The
sEMG signals acquired from the muscles of the forearm can be used to recognize the hand …